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<a href="mma__tensor__op__sm70_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/***************************************************************************************************</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017-2019, NVIDIA CORPORATION.  All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * Redistribution and use in source and binary forms, with or without modification, are permitted</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> * provided that the following conditions are met:</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> *     * Redistributions of source code must retain the above copyright notice, this list of</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> *       conditions and the following disclaimer.</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> *     * Redistributions in binary form must reproduce the above copyright notice, this list of</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> *       conditions and the following disclaimer in the documentation and/or other materials</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> *       provided with the distribution.</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> *     * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *       to endorse or promote products derived from this software without specific prior written</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> *       permission.</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS &quot;AS IS&quot; AND ANY EXPRESS OR</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="comment"> **************************************************************************************************/</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>&quot;</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="array_8h.html">cutlass/array.h</a>&quot;</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="numeric__types_8h.html">cutlass/numeric_types.h</a>&quot;</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="matrix__shape_8h.html">cutlass/matrix_shape.h</a>&quot;</span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arch_2mma_8h.html">cutlass/arch/mma.h</a>&quot;</span></div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="include_2cutlass_2gemm_2gemm_8h.html">cutlass/gemm/gemm.h</a>&quot;</span></div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="gemm_2warp_2mma_8h.html">cutlass/gemm/warp/mma.h</a>&quot;</span></div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="mma__tensor__op__policy_8h.html">cutlass/gemm/warp/mma_tensor_op_policy.h</a>&quot;</span></div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="mma__tensor__op__tile__iterator__sm70_8h.html">cutlass/gemm/warp/mma_tensor_op_tile_iterator_sm70.h</a>&quot;</span></div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="keyword">namespace </span>gemm {</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;<span class="keyword">namespace </span>warp {</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;<span class="keyword">template</span> &lt;</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;  <span class="keyword">typename</span> Shape_,</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;  <span class="keyword">typename</span> ElementA_,</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;  <span class="keyword">typename</span> LayoutA_,</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;  <span class="keyword">typename</span> ElementB_,</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;  <span class="keyword">typename</span> LayoutB_,</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;  <span class="keyword">typename</span> ElementC_,</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;  <span class="keyword">typename</span> LayoutC_,</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;  <span class="keyword">typename</span> Policy_,</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;  <span class="keyword">typename</span> Enable = <span class="keywordtype">bool</span></div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;&gt;</div><div class="line"><a name="l00077"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html">   77</a></span>&#160;<span class="keyword">class </span><a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html">MmaVoltaTensorOp</a> {</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a999febc52151d3c585f73405160052de">   80</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a999febc52151d3c585f73405160052de">Shape</a> = Shape_;</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;</div><div class="line"><a name="l00083"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ada002c337b4c4dd56e6f57adcc19d738">   83</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ada002c337b4c4dd56e6f57adcc19d738">ElementA</a> = ElementA_;</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a3d0bf8bf722d8ecf84b00abd9e5be227">   86</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a3d0bf8bf722d8ecf84b00abd9e5be227">LayoutA</a> = LayoutA_;</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a55fbfa2ebe03c10e882e5245e90b4a0a">   89</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a55fbfa2ebe03c10e882e5245e90b4a0a">ElementB</a> = ElementB_;</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ab4964d7a2cd0d0f77bae1c053a6a0528">   92</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ab4964d7a2cd0d0f77bae1c053a6a0528">LayoutB</a> = LayoutB_;</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a6b477623374acfbc68a68e7f78c29ef4">   95</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a6b477623374acfbc68a68e7f78c29ef4">ElementC</a> = ElementC_;</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#aafda08a1d0480ae202fc3a66203e4a16">   98</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#aafda08a1d0480ae202fc3a66203e4a16">LayoutC</a> = LayoutC_;</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;</div><div class="line"><a name="l00101"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ac7dbce8ff671e1b4d101aa386f379100">  101</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ac7dbce8ff671e1b4d101aa386f379100">Policy</a> = Policy_;</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;</div><div class="line"><a name="l00104"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a7bae8fc27cb04739f236ec1237b37af9">  104</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a7bae8fc27cb04739f236ec1237b37af9">OperatorClass</a> = arch::OpClassTensorOp;</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;</div><div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ab263f394262ccf84ce0da72b2f7c2c9d">  107</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ab263f394262ccf84ce0da72b2f7c2c9d">kThreadCount</a> = 32;</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;</div><div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#abe80353f8640dd272466e6425925f619">  110</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">InterleavedTileShape</a> = <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">GemmShape&lt;32, 32, 4&gt;</a>;</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(!(Shape::kM % <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html#a7a47fe0c44571a0a68a43c5a47cf676a">InterleavedTileShape::kM</a>) &amp;&amp;</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;                !(Shape::kN % <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html#a9fcbaa4b47b83d0c8a09979ad5c98a1e">InterleavedTileShape::kN</a>),</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;                <span class="stringliteral">&quot;Shape must be a multiple of InterleavedTileShape.&quot;</span>);</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOpMultiplicandTileIterator.html">IteratorA</a> = <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOpMultiplicandTileIterator.html">MmaVoltaTensorOpMultiplicandTileIterator</a>&lt;</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    <a class="code" href="structcutlass_1_1MatrixShape.html">MatrixShape&lt;Shape::kM, Shape::kK&gt;</a>,</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;    <a class="code" href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6a30f767aa191cd5d261e767fd78393607">Operand::kA</a>,</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ada002c337b4c4dd56e6f57adcc19d738">ElementA</a>,</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a3d0bf8bf722d8ecf84b00abd9e5be227">LayoutA</a>,</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    <a class="code" href="structcutlass_1_1MatrixShape.html">MatrixShape</a>&lt;</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;      Policy::Operator::Shape::kM,</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;      Policy::Operator::Shape::kK</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    &gt;,</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;    Policy::OpDelta::kRow,</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;    kThreadCount</div><div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a4606c0e308f3e8bdc1ff4c63e951d550">  129</a></span>&#160;  &gt;;</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;</div><div class="line"><a name="l00132"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a3d96fc74476d2c062cea6e45499bbb45">  132</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a3d96fc74476d2c062cea6e45499bbb45">FragmentA</a> = <span class="keyword">typename</span> IteratorA::Fragment;</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOpMultiplicandTileIterator.html">IteratorB</a> = <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOpMultiplicandTileIterator.html">MmaVoltaTensorOpMultiplicandTileIterator</a>&lt;</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;    <a class="code" href="structcutlass_1_1MatrixShape.html">MatrixShape&lt;Shape::kK, Shape::kN&gt;</a>,</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    <a class="code" href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6a3e56c011b37f0bc78fb9eb175c1181c6">Operand::kB</a>,</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;    <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a55fbfa2ebe03c10e882e5245e90b4a0a">ElementB</a>,</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;    <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ab4964d7a2cd0d0f77bae1c053a6a0528">LayoutB</a>,</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;    <a class="code" href="structcutlass_1_1MatrixShape.html">MatrixShape</a>&lt;</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;      Policy::Operator::Shape::kK,</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;      Policy::Operator::Shape::kN</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;    &gt;,</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;    Policy::OpDelta::kRow,</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    kThreadCount</div><div class="line"><a name="l00146"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a8b4342792d286cdf9a5e66f8ce486add">  146</a></span>&#160;  &gt;;</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;</div><div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#abd446811fcf7ef8f4106c4e7ebabcb84">  149</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#abd446811fcf7ef8f4106c4e7ebabcb84">FragmentB</a> = <span class="keyword">typename</span> IteratorB::Fragment;</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOpAccumulatorTileIterator.html">IteratorC</a> = <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOpAccumulatorTileIterator.html">MmaVoltaTensorOpAccumulatorTileIterator</a>&lt;</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;    <a class="code" href="structcutlass_1_1MatrixShape.html">MatrixShape&lt;Shape::kM, Shape::kN&gt;</a>,</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a6b477623374acfbc68a68e7f78c29ef4">ElementC</a>,</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#aafda08a1d0480ae202fc3a66203e4a16">LayoutC</a>,</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    <span class="keyword">typename</span> Policy::Operator::Shape,</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    <span class="keyword">typename</span> Policy::OpDelta</div><div class="line"><a name="l00158"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a0f73a810a632772db186ce5275311eb9">  158</a></span>&#160;  &gt;;</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;</div><div class="line"><a name="l00161"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a316d26dfb4b537fa0ccdb3542260406b">  161</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a316d26dfb4b537fa0ccdb3542260406b">FragmentC</a> = <span class="keyword">typename</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOpAccumulatorTileIterator.html#acd54606d757015b77519e3a4b8491b37">IteratorC::Fragment</a>;</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;    !(Shape::kM % Policy::Operator::Shape::kM) &amp;&amp; </div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;    !(Shape::kN % Policy::Operator::Shape::kN),</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    <span class="stringliteral">&quot;Shape of warp-level Mma must be divisible by operator shape.&quot;</span>);</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1MatrixShape.html">MmaIterations</a> = <a class="code" href="structcutlass_1_1MatrixShape.html">MatrixShape</a>&lt;</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;    InterleavedTileShape::kM / Policy::Operator::Shape::kM,</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;    <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html#a9fcbaa4b47b83d0c8a09979ad5c98a1e">InterleavedTileShape::kN</a> / Policy::Operator::Shape::kN</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;  &gt;;</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1MatrixShape.html">TileIterations</a> = <a class="code" href="structcutlass_1_1MatrixShape.html">MatrixShape</a>&lt;</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;    Shape::kM / <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html#a7a47fe0c44571a0a68a43c5a47cf676a">InterleavedTileShape::kM</a>,</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;    Shape::kN / <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html#a9fcbaa4b47b83d0c8a09979ad5c98a1e">InterleavedTileShape::kN</a></div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;  &gt;;</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;  <span class="comment">// Whether matrix B is reordered</span></div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;  <span class="keywordtype">bool</span> reorder_B_;</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;</div><div class="line"><a name="l00186"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#aa4837cb1fd3eac3713e99d0625f14842">  186</a></span>&#160;  <span class="keyword">typename</span> Policy::Operator <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#aa4837cb1fd3eac3713e99d0625f14842">mma</a>;</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;  <span class="comment">// Methods</span></div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;  </div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00196"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a7ba75978dcba9b1806da57ebb568a57d">  196</a></span>&#160;  <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a7ba75978dcba9b1806da57ebb568a57d">MmaVoltaTensorOp</a>() {}</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00200"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ab06b4c9da74987b1c2322039a2ddf765">  200</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ab06b4c9da74987b1c2322039a2ddf765">operator()</a>(</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;    <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a316d26dfb4b537fa0ccdb3542260406b">FragmentC</a> &amp;D, </div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;    <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a3d96fc74476d2c062cea6e45499bbb45">FragmentA</a> <span class="keyword">const</span> &amp;A, </div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;    <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#abd446811fcf7ef8f4106c4e7ebabcb84">FragmentB</a> <span class="keyword">const</span> &amp;B, </div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;    <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a316d26dfb4b537fa0ccdb3542260406b">FragmentC</a> <span class="keyword">const</span> &amp;C,</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160; 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           <span class="keywordtype">int</span> op_col = inner_col + MmaIterations::kColumn * outer_col;</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;</div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;            <span class="comment">// Column-major serpentine sequence to maximize reuse of A operand.</span></div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;            <span class="keywordtype">int</span> inner_row_serp = inner_row;</div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;            <span class="keywordtype">int</span> outer_row_serp = outer_row;</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;            <span class="keywordflow">if</span> (op_col &amp; 1) {</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;              inner_row_serp = MmaIterations::kRow - inner_row - 1;</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;              outer_row_serp = TileIterations::kRow - outer_row - 1;</div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;            }</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;            <span class="keywordtype">int</span> op_row = inner_row_serp + MmaIterations::kRow * outer_row_serp;</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;            <span class="keywordtype">int</span> op_idx = inner_row_serp + MmaIterations::kRow * </div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;                         (inner_col + MmaIterations::kColumn * </div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;                          (outer_row_serp + TileIterations::kRow * outer_col));</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;            <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#aa4837cb1fd3eac3713e99d0625f14842">mma</a>(</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;              ptr_D[op_idx],</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;              ptr_A[op_row],</div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;              ptr_B[op_col],</div><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;              ptr_D[op_idx]);</div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;</div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;          }</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;        }</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;      }</div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;    }</div><div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;  }</div><div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;};</div><div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;</div><div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;</div><div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;} <span class="comment">// namespace warp</span></div><div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;} <span class="comment">// namespace gemm</span></div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;} <span class="comment">// namespace cutlass</span></div><div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_ac7dbce8ff671e1b4d101aa386f379100"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ac7dbce8ff671e1b4d101aa386f379100">cutlass::gemm::warp::MmaVoltaTensorOp::Policy</a></div><div class="ttdeci">Policy_ Policy</div><div class="ttdoc">Shape of the warp in units of thread (concept: MmaLanePolicySimt) </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:101</div></div>
<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_abd446811fcf7ef8f4106c4e7ebabcb84"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#abd446811fcf7ef8f4106c4e7ebabcb84">cutlass::gemm::warp::MmaVoltaTensorOp::FragmentB</a></div><div class="ttdeci">typename IteratorB::Fragment FragmentB</div><div class="ttdoc">Storage for B tile. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:149</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1GemmShape_html_a7a47fe0c44571a0a68a43c5a47cf676a"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmShape.html#a7a47fe0c44571a0a68a43c5a47cf676a">cutlass::gemm::GemmShape::kM</a></div><div class="ttdeci">static int const kM</div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:58</div></div>
<div class="ttc" id="structcutlass_1_1MatrixShape_html"><div class="ttname"><a href="structcutlass_1_1MatrixShape.html">cutlass::MatrixShape</a></div><div class="ttdoc">Describes the size of a matrix tile. </div><div class="ttdef"><b>Definition:</b> matrix_shape.h:42</div></div>
<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_ab4964d7a2cd0d0f77bae1c053a6a0528"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ab4964d7a2cd0d0f77bae1c053a6a0528">cutlass::gemm::warp::MmaVoltaTensorOp::LayoutB</a></div><div class="ttdeci">LayoutB_ LayoutB</div><div class="ttdoc">Layout of multiplicand B. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:92</div></div>
<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOpMultiplicandTileIterator_html"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaVoltaTensorOpMultiplicandTileIterator</a></div><div class="ttdef"><b>Definition:</b> mma_tensor_op_tile_iterator_sm70.h:70</div></div>
<div class="ttc" id="namespacecutlass_html"><div class="ttname"><a href="namespacecutlass.html">cutlass</a></div><div class="ttdef"><b>Definition:</b> aligned_buffer.h:35</div></div>
<div class="ttc" id="structcutlass_1_1MatrixShape_html_a160927c2ddf7239f5be8c7cf6374a82e"><div class="ttname"><a href="structcutlass_1_1MatrixShape.html#a160927c2ddf7239f5be8c7cf6374a82e">cutlass::MatrixShape::kColumn</a></div><div class="ttdeci">static int const kColumn</div><div class="ttdoc">columns of a matrix </div><div class="ttdef"><b>Definition:</b> matrix_shape.h:44</div></div>
<div class="ttc" id="include_2cutlass_2gemm_2gemm_8h_html"><div class="ttname"><a href="include_2cutlass_2gemm_2gemm_8h.html">gemm.h</a></div><div class="ttdoc">Defines common types used for all GEMM-like operators. </div></div>
<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_a999febc52151d3c585f73405160052de"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a999febc52151d3c585f73405160052de">cutlass::gemm::warp::MmaVoltaTensorOp::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdoc">Shape of warp-level matrix operation (concept: GemmShape) </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:80</div></div>
<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_a7bae8fc27cb04739f236ec1237b37af9"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a7bae8fc27cb04739f236ec1237b37af9">cutlass::gemm::warp::MmaVoltaTensorOp::OperatorClass</a></div><div class="ttdeci">arch::OpClassTensorOp OperatorClass</div><div class="ttdoc">Indicates class of matrix operator. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:104</div></div>
<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_a3d0bf8bf722d8ecf84b00abd9e5be227"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a3d0bf8bf722d8ecf84b00abd9e5be227">cutlass::gemm::warp::MmaVoltaTensorOp::LayoutA</a></div><div class="ttdeci">LayoutA_ LayoutA</div><div class="ttdoc">Layout of multiplicand A. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:86</div></div>
<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOpAccumulatorTileIterator_html_acd54606d757015b77519e3a4b8491b37"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOpAccumulatorTileIterator.html#acd54606d757015b77519e3a4b8491b37">cutlass::gemm::warp::MmaVoltaTensorOpAccumulatorTileIterator::Fragment</a></div><div class="ttdeci">Array&lt; Element, Shape::kCount/kThreads &gt; Fragment</div><div class="ttdoc">Fragment object holding a thread&amp;#39;s part of a tile. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_tile_iterator_sm70.h:1213</div></div>
<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_ada002c337b4c4dd56e6f57adcc19d738"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ada002c337b4c4dd56e6f57adcc19d738">cutlass::gemm::warp::MmaVoltaTensorOp::ElementA</a></div><div class="ttdeci">ElementA_ ElementA</div><div class="ttdoc">Data type of multiplicand A. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:83</div></div>
<div class="ttc" id="array_8h_html"><div class="ttname"><a href="array_8h.html">array.h</a></div><div class="ttdoc">Statically sized array of elements that accommodates all CUTLASS-supported numeric types and is safe ...</div></div>
<div class="ttc" id="cutlass_8h_html_a4b1c9f25ab6eaa25e1f2258dd63e6ce4"><div class="ttname"><a href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="ttdeci">#define CUTLASS_PRAGMA_UNROLL</div><div class="ttdef"><b>Definition:</b> cutlass.h:110</div></div>
<div class="ttc" id="gemm_2warp_2mma_8h_html"><div class="ttname"><a href="gemm_2warp_2mma_8h.html">mma.h</a></div><div class="ttdoc">Templates exposing architecture support for warp-level multiply-add operations. </div></div>
<div class="ttc" id="arch_2mma_8h_html"><div class="ttname"><a href="arch_2mma_8h.html">mma.h</a></div><div class="ttdoc">Templates exposing architecture support for multiply-add operations. </div></div>
<div class="ttc" id="namespacecutlass_1_1gemm_html_a34338284023da7403c9ecbd3f406b2a6a30f767aa191cd5d261e767fd78393607"><div class="ttname"><a href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6a30f767aa191cd5d261e767fd78393607">cutlass::gemm::Operand::kA</a></div></div>
<div class="ttc" id="mma__tensor__op__tile__iterator__sm70_8h_html"><div class="ttname"><a href="mma__tensor__op__tile__iterator__sm70_8h.html">mma_tensor_op_tile_iterator_sm70.h</a></div><div class="ttdoc">Defines iterators used by warp-level matrix multiply operations targeting Tensor Cores. </div></div>
<div class="ttc" id="matrix__shape_8h_html"><div class="ttname"><a href="matrix__shape_8h.html">matrix_shape.h</a></div><div class="ttdoc">Defines a Shape template for matrix tiles. </div></div>
<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_a55fbfa2ebe03c10e882e5245e90b4a0a"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a55fbfa2ebe03c10e882e5245e90b4a0a">cutlass::gemm::warp::MmaVoltaTensorOp::ElementB</a></div><div class="ttdeci">ElementB_ ElementB</div><div class="ttdoc">Data type of multiplicand B. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:89</div></div>
<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_ab06b4c9da74987b1c2322039a2ddf765"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ab06b4c9da74987b1c2322039a2ddf765">cutlass::gemm::warp::MmaVoltaTensorOp::operator()</a></div><div class="ttdeci">CUTLASS_DEVICE void operator()(FragmentC &amp;D, FragmentA const &amp;A, FragmentB const &amp;B, FragmentC const &amp;C, int const &amp;partitionN_idx=0)</div><div class="ttdoc">Performs a warp-level matrix multiply-accumulate operation. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:200</div></div>
<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_aa4837cb1fd3eac3713e99d0625f14842"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#aa4837cb1fd3eac3713e99d0625f14842">cutlass::gemm::warp::MmaVoltaTensorOp::mma</a></div><div class="ttdeci">Policy::Operator mma</div><div class="ttdoc">Underlying matrix multiply operator (concept: arch::Mma) </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:186</div></div>
<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html">cutlass::gemm::warp::MmaVoltaTensorOp</a></div><div class="ttdoc">Structure to compute the matrix product targeting CUDA cores and SIMT math instructions. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:77</div></div>
<div class="ttc" id="structcutlass_1_1MatrixShape_html_a6e376c7fd5954ab6040fea695ae8a889"><div class="ttname"><a href="structcutlass_1_1MatrixShape.html#a6e376c7fd5954ab6040fea695ae8a889">cutlass::MatrixShape::kRow</a></div><div class="ttdeci">static int const kRow</div><div class="ttdoc">rows of a matrix </div><div class="ttdef"><b>Definition:</b> matrix_shape.h:43</div></div>
<div class="ttc" id="numeric__types_8h_html"><div class="ttname"><a href="numeric__types_8h.html">numeric_types.h</a></div><div class="ttdoc">Top-level include for all CUTLASS numeric types. </div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1GemmShape_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmShape.html">cutlass::gemm::GemmShape</a></div><div class="ttdoc">Shape of a matrix multiply-add operation. </div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:57</div></div>
<div class="ttc" id="platform_8h_html_adde4c9ea91b753491851361a4198c009"><div class="ttname"><a href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a></div><div class="ttdeci">#define static_assert(__e, __m)</div><div class="ttdef"><b>Definition:</b> platform.h:153</div></div>
<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_a316d26dfb4b537fa0ccdb3542260406b"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a316d26dfb4b537fa0ccdb3542260406b">cutlass::gemm::warp::MmaVoltaTensorOp::FragmentC</a></div><div class="ttdeci">typename IteratorC::Fragment FragmentC</div><div class="ttdoc">Storage for C tile. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:161</div></div>
<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_aafda08a1d0480ae202fc3a66203e4a16"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#aafda08a1d0480ae202fc3a66203e4a16">cutlass::gemm::warp::MmaVoltaTensorOp::LayoutC</a></div><div class="ttdeci">LayoutC_ LayoutC</div><div class="ttdoc">Layout of accumulator matrix C. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:98</div></div>
<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_ab263f394262ccf84ce0da72b2f7c2c9d"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ab263f394262ccf84ce0da72b2f7c2c9d">cutlass::gemm::warp::MmaVoltaTensorOp::kThreadCount</a></div><div class="ttdeci">static int const kThreadCount</div><div class="ttdoc">Number of threads participating in warp-level matrix product. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:107</div></div>
<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_a7ba75978dcba9b1806da57ebb568a57d"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a7ba75978dcba9b1806da57ebb568a57d">cutlass::gemm::warp::MmaVoltaTensorOp::MmaVoltaTensorOp</a></div><div class="ttdeci">CUTLASS_DEVICE MmaVoltaTensorOp()</div><div class="ttdoc">Ctor. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:196</div></div>
<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOpAccumulatorTileIterator_html"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOpAccumulatorTileIterator.html">cutlass::gemm::warp::MmaVoltaTensorOpAccumulatorTileIterator</a></div><div class="ttdef"><b>Definition:</b> mma_tensor_op_tile_iterator_sm70.h:1135</div></div>
<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_a6b477623374acfbc68a68e7f78c29ef4"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a6b477623374acfbc68a68e7f78c29ef4">cutlass::gemm::warp::MmaVoltaTensorOp::ElementC</a></div><div class="ttdeci">ElementC_ ElementC</div><div class="ttdoc">Data type of accumulator matrix C. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:95</div></div>
<div class="ttc" id="namespacecutlass_1_1gemm_html_a34338284023da7403c9ecbd3f406b2a6a3e56c011b37f0bc78fb9eb175c1181c6"><div class="ttname"><a href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6a3e56c011b37f0bc78fb9eb175c1181c6">cutlass::gemm::Operand::kB</a></div><div class="ttdoc">A multiplicand. </div></div>
<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_a3d96fc74476d2c062cea6e45499bbb45"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a3d96fc74476d2c062cea6e45499bbb45">cutlass::gemm::warp::MmaVoltaTensorOp::FragmentA</a></div><div class="ttdeci">typename IteratorA::Fragment FragmentA</div><div class="ttdoc">Storage for A tile. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:132</div></div>
<div class="ttc" id="cutlass_8h_html"><div class="ttname"><a href="cutlass_8h.html">cutlass.h</a></div><div class="ttdoc">Basic include for CUTLASS. </div></div>
<div class="ttc" id="mma__tensor__op__policy_8h_html"><div class="ttname"><a href="mma__tensor__op__policy_8h.html">mma_tensor_op_policy.h</a></div><div class="ttdoc">Policy describing implementation details of warp-level GEMM targeting Tensor Cores. </div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1GemmShape_html_a9fcbaa4b47b83d0c8a09979ad5c98a1e"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmShape.html#a9fcbaa4b47b83d0c8a09979ad5c98a1e">cutlass::gemm::GemmShape::kN</a></div><div class="ttdeci">static int const kN</div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:59</div></div>
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